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  1. Preface
  2. Part 1: Versions 10.5 - 10.5.0.1
  3. Part 2: Versions 10.4.1 - 10.4.1.3
  4. Part 3: Versions 10.4 - 10.4.0.2
  5. Part 4: Versions 10.2.2 - 10.2.2 HotFix 1
  6. Part 5: Version 10.2.1
  7. Part 6: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.0.1)

What's New and Changed (10.5.0.1)

Spark Execution Engine

Spark Execution Engine

Effective in version 10.2.2, Enterprise Data Lake uses the Spark engine for high resource consumption activities such as asset publication, and to run active rule mapplets that use the Python transformation. Using the Spark engine for high resource consumption activities provides better performance, and enables an Enterprise Data Lake deployment on Amazon Elastic MapReduce (EMR) to take advantage of autoscaling.